Publications by authors named "Adrian Darabant"

Vine disease detection is considered one of the most crucial components in precision viticulture. It serves as an input for several further modules, including mapping, automatic treatment, and spraying devices. In the last few years, several approaches have been proposed for detecting vine disease based on indoor laboratory conditions or large-scale satellite images integrated with machine learning tools.

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Micro-expressions play an essential part in understanding non-verbal communication and deceit detection. They are involuntary, brief facial movements that are shown when a person is trying to conceal something. Automatic analysis of micro-expression is challenging due to their low amplitude and to their short duration (they occur as fast as 1/15 to 1/25 of a second).

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The accurate extraction and measurement of eye features is crucial to a variety of domains, including human-computer interaction, biometry, and medical research. This paper presents a fast and accurate method for extracting multiple features around the eyes: the center of the pupil, the iris radius, and the external shape of the eye. These features are extracted using a multistage algorithm.

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This article aims to determine the necessary characteristics of a magnetic stimulator, capable of stimulating neural tracts of the spinal cord in a healthy subject. Our previous preliminary tests had shown that the commercial clinical magnetic stimulator Magstim Rapid(2) was unable to reach excitable structures within the spinal cord, and only adjacent spinal nerves could be activated with the maximal deliverable field strength. In a subsequent modeling study, we were able to show that the "figure eight"-shaped commercial coil could be one reason for, in this particular application, insufficient reach of the magnetic field, and substantial improvements could be gained by alternative geometrical arrangement of the windings of the magnetic coils.

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This paper presents a system that automatically extracts the position of the eyeglasses and the accurate shape and size of the frame lenses in facial images. The novelty brought by this paper consists in three key contributions. The first one is an original model for representing the shape of the eyeglasses lens, using Fourier descriptors.

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